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Transformer brain encoders explain human high-level visual responses

Transformer brain encoders explain human high-level visual responses

22 May 2025
Hossein Adeli
Minni Sun
N. Kriegeskorte
ArXiv (abs)PDFHTML

Papers citing "Transformer brain encoders explain human high-level visual responses"

12 / 12 papers shown
Title
Modeling the Human Visual System: Comparative Insights from
  Response-Optimized and Task-Optimized Vision Models, Language Models, and
  different Readout Mechanisms
Modeling the Human Visual System: Comparative Insights from Response-Optimized and Task-Optimized Vision Models, Language Models, and different Readout Mechanisms
Shreya Saha
Ishaan Chadha
Meenakshi khosla
59
1
0
17 Oct 2024
Brain Decodes Deep Nets
Brain Decodes Deep Nets
Huzheng Yang
James C. Gee
Jianbo Shi
54
8
0
03 Dec 2023
The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of
  Natural Scenes
The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes
A. T. Gifford
B. Lahner
Sari Saba-Sadiya
M. G. Vilas
A. Lascelles
A. Oliva
K. Kay
Gemma Roig
Radoslaw Martin Cichy
AI4CE
61
36
0
09 Jan 2023
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
Guosheng Lin
MLLMBDLVLMCLIP
542
4,360
0
28 Jan 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
694
6,079
0
29 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
931
29,436
0
26 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
657
41,103
0
22 Oct 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT3DVPINN
421
13,048
0
26 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
369
18,778
0
13 Feb 2020
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
94,891
0
11 Oct 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
713
131,652
0
12 Jun 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
1